乐胖代购免代理版

{"id":"https://openalex.org/W2968387022","doi":"https://doi.org/10.1109/aike.2019.00009","title":"A Novel Framework for Neural Architecture Search in the Hill Climbing Domain","display_name":"A Novel Framework for Neural Architecture Search in the Hill Climbing Domain","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2968387022","doi":"https://doi.org/10.1109/aike.2019.00009","mag":"2968387022"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/aike.2019.00009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"proceedings-article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2102.12985","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049064111","display_name":"Mudit Verma","orcid":"https://orcid.org/0000-0003-4524-2102"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mudit Verma","raw_affiliation_strings":["Department of Information Technology, Delhi Technological University, Delhi"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Delhi Technological University, Delhi","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069110647","display_name":"Pradyumna Prakhar Sinha","orcid":null},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pradyumna Sinha","raw_affiliation_strings":["Department of Information Technology, Delhi Technological University, Delhi"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Delhi Technological University, Delhi","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065054476","display_name":"Karan Goyal","orcid":"https://orcid.org/0000-0001-9993-7335"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Karan Goyal","raw_affiliation_strings":["Department of Information Technology, Delhi Technological University, Delhi"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Delhi Technological University, Delhi","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102548328","display_name":"Apoorva Verma","orcid":null},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Apoorva Verma","raw_affiliation_strings":["Department of Information Technology, Delhi Technological University, Delhi"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Delhi Technological University, Delhi","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077452078","display_name":"Seba Susan","orcid":"https://orcid.org/0000-0002-6709-6591"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Seba Susan","raw_affiliation_strings":["Department of Information Technology, Delhi Technological University, Delhi"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Delhi Technological University, Delhi","institution_ids":["https://openalex.org/I863896202"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.842536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":81,"max":82},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hill-climbing","display_name":"Hill climbing","score":0.7531281},{"id":"https://openalex.org/keywords/climbing","display_name":"Climbing","score":0.49126047},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.42903733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80227447},{"id":"https://openalex.org/C135450995","wikidata":"https://www.wikidata.org/wiki/Q820272","display_name":"Hill climbing","level":2,"score":0.7531281},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6740218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6313484},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.62800246},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5674893},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5026045},{"id":"https://openalex.org/C95038775","wikidata":"https://www.wikidata.org/wiki/Q22857","display_name":"Climbing","level":2,"score":0.49126047},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.45583063},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.44780576},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.44654894},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.42903733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08372387},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.081471026},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/aike.2019.00009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.12985","pdf_url":"http://arxiv.org/pdf/2102.12985","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2102.12985","pdf_url":"https://arxiv.org/pdf/2102.12985","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2102.12985","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.12985","pdf_url":"http://arxiv.org/pdf/2102.12985","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":["https://openalex.org/W2968387022","https://openalex.org/W3130884599"],"referenced_works_count":34,"referenced_works":["https://openalex.org/W1581066146","https://openalex.org/W1653273292","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1905882502","https://openalex.org/W2119717200","https://openalex.org/W2130942839","https://openalex.org/W2194775991","https://openalex.org/W2257979135","https://openalex.org/W2266822037","https://openalex.org/W2523246573","https://openalex.org/W2553303224","https://openalex.org/W2593744649","https://openalex.org/W2594529350","https://openalex.org/W2606006859","https://openalex.org/W2606833507","https://openalex.org/W2619184049","https://openalex.org/W2619307294","https://openalex.org/W2751836095","https://openalex.org/W2769653148","https://openalex.org/W2773706593","https://openalex.org/W2899771611","https://openalex.org/W2949117887","https://openalex.org/W2949264490","https://openalex.org/W2951886768","https://openalex.org/W2962716258","https://openalex.org/W2963263347","https://openalex.org/W2963536136","https://openalex.org/W2963778169","https://openalex.org/W2964081807","https://openalex.org/W2965658867","https://openalex.org/W3102058420","https://openalex.org/W3118608800","https://openalex.org/W4295185264"],"related_works":["https://openalex.org/W643038845","https://openalex.org/W4317738234","https://openalex.org/W4313245278","https://openalex.org/W3212815067","https://openalex.org/W3156781616","https://openalex.org/W2521924929","https://openalex.org/W2392978157","https://openalex.org/W2364780071","https://openalex.org/W2143761673","https://openalex.org/W2020542318"],"abstract_inverted_index":{"Neural":[0],"networks":[1],"have":[2,35],"now":[3],"long":[4],"been":[5],"used":[6],"for":[7,23,31,57],"solving":[8],"complex":[9],"problems":[10],"of":[11,39,72,85,126],"image":[12],"domain,":[13],"yet":[14],"designing":[15],"the":[16,83,92,95,120],"same":[17],"needs":[18],"manual":[19],"expertise.":[20],"Furthermore,":[21],"techniques":[22],"automatically":[24],"generating":[25],"a":[26,32,54,63,73,104,115,127],"suitable":[27],"deep":[28],"learning":[29,41],"architecture":[30,59],"given":[33],"dataset":[34,122],"frequently":[36],"made":[37],"use":[38,71],"reinforcement":[40],"and":[42,50,89],"evolutionary":[43],"methods":[44],"which":[45,108],"take":[46],"extensive":[47],"computational":[48],"resources":[49],"time.":[51,98],"We":[52,113],"propose":[53],"new":[55],"framework":[56],"neural":[58,86],"search":[60,102,106],"based":[61,81],"on":[62,82,119],"hill-climbing":[64],"procedure":[65],"using":[66],"morphism":[67],"operators":[68],"that":[69],"makes":[70],"novel":[74],"gradient":[75],"update":[76,79],"scheme.":[77],"The":[78],"is":[80],"aging":[84],"network":[87],"layers":[88],"results":[90],"in":[91,94,103,123],"reduction":[93],"overall":[96],"training":[97],"This":[99],"technique":[100],"can":[101],"broader":[105],"space":[107],"subsequently":[109],"yields":[110],"competitive":[111],"results.":[112],"achieve":[114],"4.96%":[116],"error":[117],"rate":[118],"CIFAR-10":[121],"19.4":[124],"hours":[125],"single":[128],"GPU":[129],"training.":[130]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2968387022","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2024-12-13T05:43:10.142803","created_date":"2019-08-22"}